Syracuse Tax Parcels

About

This dataset represents approximately 42,000 tax parcels for the city of Syracuse, NY. The dataset is available in the DataCuse open data portal: http://data.syrgov.net/datasets/parcel-data-august-2017

Syracuse Parcels

Downtown Syracuse

Data Dictionary

This data set contains the following variables:

• tax_id - unique parcel ID (numeric)
  
• neighborhood - city neighborhood for tax parcel (character)
• stnum - parcel address (numeric)
• stname - parcel address (character)
• zip - parcel address (numeric)
• owner - property owner (character)
• frontfeet - length of the front of the lot (numeric)
  
• depth - depth of the lot (numeric)
• sqft - size of the parcel in square feet (numeric)
• acres - size of the parcel in acres (numeric)
• yearbuilt - year of construction for the building on the parcel (numeric)
• age - age of the building (numeric)
• age_range - age of the building by decade (factor)
• land_use - zoning purpose of the parcel (factor)
• units - number of units in multi-unit buildings (numeric)
  
• residential - is the parcel zoned for residential (T/F)
  
• rental - is the residential space zoned for rental (T/F)
• vacantbuil - is the building vacant (T/F)
  
• assessedla - assessed value of the parcel land (numeric)
• assessedva - assessed value of the parcel land plus buildings (numeric)
• tax.exempt - is the parcel tax exempt (T/F)
  
• countytxbl - value of parcel for tax purposes (numeric)
• schooltxbl - value of parcel for tax purposes (numeric)
• citytaxabl - value of parcel for tax purposes (numeric)
  
• star - does the parcel qualify for a residential tax break (T/F)
  
• amtdelinqu - amount of tax bill that is delinquint (numeric)
• taxyrsdeli - length of time tax bill is delinquint (numeric)
• totint - total interest owed for delinquint taxes (numeric)
• overduewater - total owed on overdue water bills (numeric)

Load Dataset

We are using a number of variables from the 2015 extract of tax parcels saved as a CSV file on GitHub for easy loading:

URL <- "https://raw.githubusercontent.com/DS4PS/Data-Science-Class/master/DATA/syr_parcels.csv"
dat <- read.csv( URL, stringsAsFactors=FALSE )

head( dat ) %>% pander

Parcel Shapefiles

The shapefile has been converted to a geojson format, and is available on GitHub:

library( geojsonio )
library( sp )
library( rgdal )

syr <- geojson_read( "syr_parcels.geojson", method="local", what="sp" )
plot( syr,  border=NA, col="gray80" )

Neighborhoods

Land Use